Natural images from 20 different classes are included in the VOC datasets. We use the VOC trainval2007 and VOC trainval2012 sets to train our model, which contains around 16k images, and the VOC test2007 set to evaluate our IDa-Det, which contains 4952 images. We utilize the mean average precision (mAP) as the evaluation matrices, as suggested by [1]}.
